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ZHANG Xiufeng, QU Xiaocheng, WEI Quande. Development and application of multi-dimension multi-parameter monitoring and early warning platform of coalbursts[J]. Journal of Mining and Strata Control Engineering, 2021, 3(1): 013013. DOI: 10.13532/j.jmsce.cn10-1638/td.20200922.002
Citation: ZHANG Xiufeng, QU Xiaocheng, WEI Quande. Development and application of multi-dimension multi-parameter monitoring and early warning platform of coalbursts[J]. Journal of Mining and Strata Control Engineering, 2021, 3(1): 013013. DOI: 10.13532/j.jmsce.cn10-1638/td.20200922.002

Development and application of multi-dimension multi-parameter monitoring and early warning platform of coalbursts

  • Yankuang Group Co.,Ltd.has many coal mines that are suffering coalbursts.These coal mines differ from each other with different regions, different geological, and geotechnical conditions.From the perspective of the research center for coal burst prevention and control,researches on the multi-parameter joint monitoring and early warning method of coal burst,the development of the monitoring platform system, and the field practice,the exploration of the monitoring early warning mode of coal burst in the new situation have been conducted.Research results are as follows:① The classification monitoring and early warning of coalbursts can be realized and the accuracy of monitoring and early warning can be improved by dividing coalburst monitoring area in space,selecting monitoring parameters and setting weight coefficients according to impact factors.② A combined warning mechanism of ''conventional warning '' and '' special condition warning'' was proposed,which can be customized to set the weight coefficients of each monitoring parameter by analyzing the geological and mining technology factors in a specific survey area, aiming to improve the universality and pertinence of the early warning algorithm.③ The concept of four-dimensional data analysis was put forward,including surface and underground of space,static data and dynamic data on the time,mining speed and early warning index in intensity,and early warning and disposal in management.④ A platform system to realize intelligent linkage and automatic reporting functions,such as mine and coalburst prevention research center,surface and underground,static data and dynamic data,early warning results and on-site disposal measures has been developed, which improves the timeliness of monitoring early warning and management of coal burst,and reduced the labor cost.
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